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https://doi.org/10.24138/jcomss-2025-0106

A Cognitive Fuzzy - Analytic Hierarchy Process and Semantic Reasoning Framework for Human-like Intelligence in HR Performance Evaluation

Omkaresh Kulkarni ; Dr. D.Y Patil Institute of Technology, Pimpri
Sudhanshu Gonge ; Symbiosis International (Deemed University), Pune, Maharashtra, India
V. S. Prasad Kandi ; Koneru Lakshmaiah Education Foundation, Vaddeswaram Campus, India
Doddi Srilatha orcid id orcid.org/0000-0002-0099-5277 ; Koneru Lakshmaiah Education Foundation, India
Chitrakant Banchhor ; Vishwakarma Institute of Technology, Pune, Maharashtra, India
Sandeep Dwarkanath Pande orcid id orcid.org/0000-0001-6969-0423 ; MIT, Academy of Engineering, Alandi, Pune, India *
Chandrashekhar A. Ghuge orcid id orcid.org/0000-0002-5386-3913 ; P.E.S's Modern College of Engineering, Pune-5, Maharashtra
Dharmesh Dhabliya ; Vishwakarma Institute of Technology, Pune, Maharashtra, India

* Dopisni autor.


Puni tekst: engleski pdf 1.475 Kb

str. 274-282

preuzimanja: 0

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Sažetak

This paper outlines a cognitive reasoning platform which integrates semantic reasoning with fuzzy logic, and the Analytic Hierarchy Process, (AHP) for producing intelligence comparable to human intelligence for making the intricate decisions. By simulating human cognitive processes, it interprets relational hierarchies and synthesizes imprecise assessments into structured metrics, generating autonomous decisions by processing a variety of inputs. Context-aware adaptation that imitates human cognition and the close linkage of computational rigor and semantic reasoning are two important developments. 89% of experimental outcomes match expert evaluations, outperforming conventional techniques. It uses Human Resources (HR) evaluation as the main application context, even though the cognitive reasoning platform is architecturally broad and appropriate for a variety of domains needing structured judgments, such as healthcare triage, project risk analysis, and academic performance review. This explains why HR examples are used frequently in the manuscript as both an instructive use case and a validation area.

Ključne riječi

Sharing System; File System; Performance Evaluation; Fuzzy Mathematics

Hrčak ID:

348416

URI

https://hrcak.srce.hr/348416

Datum izdavanja:

30.6.2026.

Posjeta: 0 *